ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Also, explore other alternatives like Apache Hadoop and Spark RDD.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

NOVEMBER 30, 2021

Project Idea: In this project, you will work on a retail store’s data and learn how to realize the association between different products. Source Code: Machine learning for Retail Price Recommendation with R 3) Analyzing Customer Feedback Collecting feedback from customers has become a norm for most companies.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

JANUARY 19, 2022

The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization. Companies in various sectors are improving their big data and analytics operations, from healthcare to retail. This is where the Azure Data Engineer enters the picture.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

JULY 21, 2021

However, if you're here to choose between Kafka vs. RabbitMQ, we would like to tell you this might not be the right question to ask because each of these big data tools excels with its architectural features, and one can make a decision as to which is the best based on the business use case. It distinguishes data on semantics.

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

JUNE 30, 2016

Major industries driving demand for analytics talent in India are - e-Commerce & Retail , Insurance, Finance, Manufacturing and IT with e-Commerce being the highest paymaster for Hadoop salaries in India. If you are looking for big leap in your career, then this is the best time to master big data skills.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

JUNE 29, 2016

Big data and Hadoop jobs have exploded globally in multiple business domains like Healthcare, Retail, Finance, Manufacturing, Media & Entertainment, etc., in both big and small organizations-whilst the number of hadoop professionals are still scarce and of course, Hadoop developers are pricey.

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

APRIL 11, 2016

” or “What are the various big data tools in the Hadoop stack that you have worked with?”- How big data problems are solved in retail sector? What is the largest amount of data that you have handled? Which object will you use to track the progress of a job?

Hadoop 40

Hadoop Big Data Java Unstructured Data 40